class_docstr: Base class for op benchmarks.
code: def __init__(self):
      super(OpsBaseBenchmark, self).__init__()
      self.input_data = None
      self.batch_size = None
      self.use_tf_function = False
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import time
  import tensorflow
  import tensorflow_datasets
  from tensorflow.python.client import session
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import lookup_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow_text.python import ops
  from tensorflow.python.util import tf_inspect
label_desc: Use image node_id 1 to create a new OpsBaseBenchmark object from inherited base classes: tf.test with example: obj = OpsBaseBenchmark()